High precision opinion retrieval using sentiment-relevance flows

SIGIR 2010 Proceedings - 33rd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval

Volumn , Issue , 2010, Pages 817-818

  Lee, Seung Wook ^a   Lee, Jung Tae ^a   Song, Young In ^b   Rim, Hae Chang ^a  

^a Korea University   (South Korea)

^b MICROSOFT RESEARCH ASIA   (China)

Author keywords

Opinion retrieval; Sentiment analysis; Sentiment relevance flow

Indexed keywords

HIGH PRECISION; OPINION RETRIEVAL; SENTIMENT ANALYSIS; SENTIMENT-RELEVANCE FLOW; TOPIC RELEVANCE; WEB CORPORA;

INFORMATION RETRIEVAL;

EID: 77956028798     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1835449.1835631     Document Type: Conference Paper

References (3)

1. I. Ounis, C. Macdonald, and I. Soboroff. Overview of the TREC-2008 blog track. In Proc. of TREC 2008.
2. J. Seo and J. Jeon. High precision retrieval using relevance-flow graph. In Proc. of SIGIR 2009.
3. M. Zhang and X. Ye. A generation model to unify topic relevance and lexicon-based sentiment for opinion retrieval. In Proc. of SIGIR 2008.